Cluster Based Privacy Preserving Data Aggregation Algorithm for Wireless Sensor Networks

Providing efficient data privacy and data aggregation simultaneously is a challenging work in wireless sensor networks. In this paper, we propose a novel queue based privacy-preserving data aggregation scheme for additive aggregation function. In the scheme, sensor nodes are divided into clusters in a distributed way first, and then, in each cluster, cluster members will form a queue and adopt a new queue based privacypreserving scheme to send data for aggregation upon the cluster head’s request. We evaluate our scheme in terms of communication/storage/computational overheads, capacity of privacy preservation, and data aggregation accuracy. The results show that our scheme is efficient and reasonable. Copyright © 2014 IFSA Publishing, S. L.